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Multi-Swarm bat algorithm
Published 2023“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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Cluster validity of the fuzzy C-means algorithm in mammographic image using adaptive cluster & partition entropy indexes / Azwani Aziz
Published 2010“…This problem can be solved by cluster validity index. Cluster validity index is needed to find the suitable number of cluster, c in any fuzzy clustering algorithm. …”
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A modified technique in RFID networking planning and optimization
Published 2015“…In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. …”
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Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…Later, the optimisation algorithm will be tested and verified using test problems from literature. …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
Published 2021“…Considering the issue encountered, the water quality index (WQI) formulation developed by the Department of the Environment (DOE) might be able to assist the water authorities in some way, as it is useful to assess the river water quality condition. …”
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Brain Tumour Classification using Deep Learning with Residual Attention Network: A Comparative Study
Published 2021“…The algorithm performance is evaluated based on training accuracy, testing accuracy, validation accuracy, and validation loss metrices. …”
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Brain Tumour Classification using Deep Learning with Residual Attention Network : A Comparative Study
Published 2021“…The algorithm performance is evaluated based on training accuracy, testing accuracy, validation accuracy, and validation loss metrices. …”
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…The results produced by the tools are then validated with other research finding. This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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Does the height matter? a case for wi-fi based wireless positioning system
Published 2023“…The methods are rather straightforward compared to the use of conventional on-board sensing elements that often require fusion of several sensors as well as complex algorithms. …”
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A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks
Published 2012“…The performance of our algorithm is confirmed through simulations and validated against two leading CDS algorithms. …”
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Adopting Jaya Algorithm for Team Formation Problem
Published 2020“…To evaluate the efficiency of the Jaya Algorithm (JA) against another metaheuristic algorithm, Sine-Cosine Algorithm (SCA), both algorithms are tested and assessed for the TF problem solution using an ACM dataset containing experts and their skills. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. The study reveals that, when recombination and mutation are used for different groups, equal composition of both groups produces a better result in terms of accuracy, parsimony, speed, and consistency. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. The study reveals that, when recombination and mutation are used for different groups, equal composition, of both groups produces a better result in terms of accuracy, parsimony, speed, and consistency. …”
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Midblock signalled pedestrian crossing : alternative controller algorithms
Published 2000“…The measures of performance of all algorithms are evaluated using a fully calibrated and validated simulation program. …”
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Automated tournament management system with dynamic matchmaking using genetic algorithm / Wan Muhammad Aqil Wan Harun
Published 2016“…CTMS are embedded with dynamic match making using genetic algorithm that can pairs players based on variation combination of criteria such as player’s gender, points and nation. …”
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On density-based data streams clustering algorithms: A survey
Published 2017“…Moreover, we investigate the evaluation metrics used in validating cluster quality and measuring algorithms’ performance. …”
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Fatigue Life Estimation Based On Continuum Mechanics Theory With Application Of Genetic Algorithm
Published 2015“…Finite element analysis is used to determine the experimental fatigue life of steel alloy C40 published in literature for validation purposes. …”
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